T-distributed stochastic neighbor embedding
= T-distributed stochastic neighbor embedding
{wiki=T-distributed_stochastic_neighbor_embedding}
T-distributed Stochastic Neighbor Embedding (t-SNE) is a machine learning technique primarily used for dimensionality reduction and visualization of high-dimensional datasets. It is particularly effective in preserving the local structure of the data while allowing for a good representation of the overall data structure in a lower-dimensional space, typically 2D or 3D.